The copyright protection of digital videos is becoming more important with the development of multimedia technology. A novel adaptive video watermarking scheme integrated of several techniques is proposed in this paper in order to obtain one practical watermarking. The scheme is robust against manifold attacks and the watermark can be retrieved blindly. First, the watermark was scrambled by Arnold scramble and Turbo coded to obtain the improved security. Secondly, the key frames were selected based on the video characteristics such as frequency sensitivity, chroma sensitivity, movement sensitivity, texture sensitivity and luminance sensitivity which were summarized in this paper. Then the key frames were segmented to three dimension blocks and the watermark was embedded into the middle-low frequency domain of the three dimension wavelet decomposed coefficients of the blocks. In addition, a new method was adopted which can extract the invariable information of rotated and zoomed videos by Zernike movement. The invariable information can be used to conquer rotating and zooming attacks. Finally, the watermark was retrieved blindly. The robustness was obtained with attacks and tests to the typical videos. Experimental results demonstrate that the scheme is accommodated to videos with various content characteristics and can conquer the present attacks. It has certain practical values.%随着多媒体技术的发展,数字视频的版权保护变得越来越重要.为了设计一种更加实用的数字视频水印,提出了集成多种技术的、对多种攻击鲁棒的自适应、盲检测视频水印新算法.首先,利用Arnold置乱技术将水印置乱,并进行Turbo编码,以提高其安全性;然后,根据视频的特征,即归纳的频率敏感性、色度敏感性、运动敏感性、纹理敏感性和亮度敏感性选取关键帧,并运用分块技术将关键帧进行3维分块;再进行3维小波分解,选中低频区域作为嵌入域;此外,为了抵抗旋转、缩放攻击,采用了一种新方法,即用Zernike矩提取视频的旋转、缩放不变信息;最后采用盲检测技术提取水印.通过对典型视频数据的攻击和测试,得出了水印的鲁棒性指标.结果表明,本文水印适合多种内容特点的视频,能够抵抗目前常见的各类攻击,具有一定的实用价值.
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